sfgpufwi (2.0-git)
index
user/pyang/Mgpufwi.cu
CUDA based FWI using Enquist absorbing boundary condition (A2)

 
Synopsis
        sfgpufwi < vinit.rsf shots=shots.rsf > vupdates.rsf grads=grads.rsf objs=objs.rsf illums=illums.rsf verb=y precon=n niter=100 rbell=2

Note: You can try other complex boundary condition but we do not
recommend to do so. The main reason is that FWI is to recover
the low-frequency information of the earth model. Low-freq
means that exact absorbing is not necessarilly needed. The
result will be improved with the optimization precedure.
Furthermore, complex boundary condition (such as sponge ABC or
PML) implies more computational cost, which will degrade the
efficiency of FWI.

 
Parameters
       
 
file grads=
auxiliary output file name
 
file illums=
auxiliary output file name
 
int niter=100
number of iterations
 
file objs=
auxiliary output file name
 
bool precon=n [y/n]
precondition or not
 
int rbell=2
radius of bell smooth
 
file shots=
auxiliary input file name
 
bool verb=y [y/n]
vebosity

 
Used In
       

 
XJTU
        gpufwi/marmtest
primer/marmfwi